Motivations

Personality Recognition consists in the automatic classification of authors’ personality traits, that can be compared
against gold standard annotation obtained by means of the big5 personality test.
In recent years the interest of the scientific community towards Personality Recognition has grown
incredibly, since the application of Personality Recognition proved to be a valuable resource
in Social Network Analysis and Social Computing.
Despite there are a growing number of works in Personality Recognition, it is still very difficult
to say what is the state-of-the-art, because almost all the scholars working in the field used different
datasets and evaluation measures.
In the Workshop on Computational Personality Recognition (Shared Task) we are going to run a shared task that will allow participants to compare the results of their systems on a common benchmark.
We do not want to focus just on performance, but rather on discovering which feature sets,
resources and learning techniques are useful in the extraction of personality from text.
The workshop will be held in Boston on July 11 2013, in conjunction with ICWSM. Organizers are
going to let the data available as a benchmark for future experiments, after the shared task.

use at least one of the datasets provided by the organizers for their experiments (more info in the task guidelines.zip);

provide the files used for the experiments;

submit a short paper (max. 4 pages, including references) reporting all the information about features, resources and techniques used in the experiments, and discussing results.

Organizers warmly invite contributors working in Personality Recognition to test their systems on the datasets released. Other researchers or teams that wish to use the datasets for the tasks listed above are more than welcome.
The Programme committee will evaluate and select the papers for publication on the basis of clarity, correctness, meaningful comparison, significance, soundness and replicability. Negative results will be considered as important as positive results.
Selected papers will be published in the workshop proceedings and will be presented as posters at the workshop.
All papers must be anonymous and follow AAAI formatting guidelines. Papers must be sent to fabio.celli@live.it no later than March 20th, 2013 (deadline extended).
The Workshop will take place in a half day on July 11th, 2013 and will include a presentation talk, invited talks, a poster session and a panel discussion, open to contributors, organizers and attendees.

Important Dates

January 21th, 2013: first call for participation
January 28th, 2013: second call for participation
February 1st, 2013: data release
March 20th, 2013: paper due date (extended deadline)
March 25th, 2013: notification of acceptance
March 29th, 2013: camera-ready deadline
July 11th, 2013: Workshop.

Terms Of Use

Confidentiality
You cannot send the database to any other party,
nor disclose to anyone else the information
contained within it as well as its structure.

Anonymisation
We have anonymised the dataset.
You cannot attempt to reverse this by linking
individual records with specific users.
This means that you also should not link individual
data with any other information about an individual
that you may have. This implies that you cannot
attempt to contact any individuals either.

Non-Commerical License
We grant you a non-commercial license
to use the data.
You can only use it for academic research that does
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in collaboration with any commercial entities.

Recoverability
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which means that myPersonality may ask you to cease
use of it and to delete it from any storage you have
at our sole discretion.